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Deep Manishkumar Dave

Industrial IoT Specialist at LTIMindtree

Plainville, United States

As a Senior Specialist IIoT Engineer, Deep’s 4+ year journey has revolved around the digital transformation wave in the medical device manufacturing sector. The fusion of his educational background in Mechatronics and Engineering Management offers a distinct vantage point. He perceives beyond systems or processes; he visualizes an interconnected framework of machinery, data, and human elements, all converging towards one pivotal goal: elevating patient care.

His proficiency in IIoT isn't just about integrating sensors or enhancing machinery. It's about crafting a digital matrix encompassing every stage of production. From conceptualizing comprehensive IIoT strategies to their actual deployment, he's transformed manufacturing processes to be not just efficient, but also predictive. This real-time data-centric approach not only mitigates downtimes but also revolutionizes the medical device industry's perspective on innovation.

He understands the symbiotic relationship between applications and infrastructure. Advocating site reliability solutions specific to business prerequisites, his expertise spans from deploying critical applications to enhancing infrastructure robustness. Beyond the tangible, he's championed ITSM processes, guaranteeing each digital touchpoint is resilient, adaptable, and aligns with overarching business objectives.

His collaborations with industry leaders like LTIMindtree and Johnson & Johnson's Depuy Synthes stand testament to his contributions. At LTIMindtree, he transcended conventional roles, synchronizing with multifaceted teams and clientele to devise digital solutions addressing manufacturing challenges. With Johnson & Johnson, his initiative in the digitization of orthopedics manufacturing directly elevated the caliber of medical tools, culminating in improved patient results.

Beyond his technical prowess, he mentors IIoT Engineers underscoring his commitment to nurturing upcoming talent. Empowering them with essential tools, methodologies, and perspectives ensures that the manufacturing sector's future remains vibrant and innovative.

Outside his professional commitments, he likes traveling and hiking. He's passionate about guiding young aspirants, firmly rooted in the belief of leading by example. His career trajectory symbolizes more than just tasks and accomplishments; it characterizes transformative advances in a constantly adapting industrial environment.

Deep Manishkumar Dave Points
Academic 10
Author 4
Influencer 1
Speaker 0
Entrepreneur 0
Total 15

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Service Provider
Business Unit: Technology
Theatre: North america
Minimum Project Size: $10,000+
Average Hourly Rate: $25-$49
Number of Employees: 50,001-100,000
Company Founded Date: 1996

Areas of Expertise

5G
AI 30.01
Big Data 30.10
Blockchain 30.32
Digital Transformation 30.10
Digital Twins
Emerging Technology 30.33
HealthTech 30.02
IoT 30.24
IT Leadership
IT Operations
IT Strategy
Supply Chain

Industry Experience

Manufacturing

Publications

4 Article/Blogs
Industry 4.0: The Fourth Industrial Revolution
https://iotbusinessnews.com/2024/01/30/56566-industry-4-0-the-fourth-industrial-revolution/
January 30, 2024

See publication

Tags: Digital Transformation, Emerging Technology, IoT

Augmented Intelligence: Human AI Collaboration in the Era of Digital Transformation
International Journal of Engineering Applied Sciences and Technology
December 06, 2023
Augmented Intelligence (AI) combines human and artificial intelligence to enhance decision-making. This
paper reviews AI concepts, applications, and collaboration models like human-in-the-loop AI and cognitive computing AI. It examines AI's role in improving human judgment, handling large datasets, and making routine decisions. The paper explores AI's impact on sectors like healthcare through use cases in blood glucose monitoring. It applies the McKinsey 4D framework to implement AI for glucose monitoring. The paper also discusses emerging models like Hybrid Augmented Intelligence (HAI) that integrate human cognition within AI systems for optimal performance. Overall, it underscores AI's potential in complementing human capabilities and driving innovation across industries with responsible design.

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Tags: AI, Digital Transformation, IoT

The Digital Doctor: How IoMT is Changing the Face of Medical Care
Medium
May 17, 2023
The Internet of Medical Things (IoMT) is a technological revolution that is changing the way we approach healthcare. At its core, IoMT is a network of medical devices, wearables, sensors, and other connected technologies that are used to collect and share health data. By combining these technologies with advanced analytics and machine learning, IoMT has the potential to enable personalized medicine, improve the accuracy and speed of medical diagnosis and treatment, and generate insights that can help drive innovation in the healthcare industry.

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Tags: Emerging Technology, HealthTech, IoT

Synergistic Human-Robot Collaboration in Industry 5.0: Designing Efficient and Flexible Manufacturing Systems
Medium
April 17, 2023
The rise of Industry 5.0, the next generation of the industrial revolution, is changing the landscape of manufacturing processes. One of the key elements of Industry 5.0 is the integration of humans and robots in collaboration, where they work side by side to achieve efficient and flexible production processes. This paper explores the design and implementation of co-production systems that leverage the strengths of humans and robots and create a synergistic relationship that maximizes their capabilities. The article provides an overview of the concept of human-robot collaboration, discusses the benefits and challenges of integrating humans and robots in production, and highlights the main aspects of designing and implementing joint production systems in the context of Industry 5.0.

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Tags: Digital Transformation, IoT, Manufacturing

2 Journal Publications
Data Integration and Interoperability in IOT: Challenges, Strategies and Future Direction
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY
January 30, 2024
The Internet of Things (IoT) has emerged as a transformative force in the digital era, interconnecting an ever-growing number of devices and systems. This paper explores the multifaceted challenges and innovative strategies in the realm of IoT data integration and interoperability. It delves into the technological hurdles, such as the heterogeneity of devices and standards, security and privacy concerns, scalability issues, and the pressing need for standardization and regulatory frameworks. The paper reviews current strategies, including middleware use, IoT platforms, APIs, and standard protocols, providing a comparative analysis of these approaches. It also discusses emerging technologies like AI, blockchain, and edge computing that are reshaping IoT data integration, alongside potential advancements in standardization and regulations. The paper identifies future challenges and opportunities in IoT, proposing areas for further research, including AI-driven predictive maintenance, blockchain for secure networks, standardization in communication protocols, ethical implications, and energy-efficient IoT devices. This comprehensive review and forward-looking perspective aim to guide future developments in the IoT ecosystem, highlighting the critical role of data integration and interoperability in realizing the full potential of IoT technologies.

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Tags: Big Data, Blockchain, IoT

Neural Manufacturing: The Future of Intelligent Production
Journal of Emerging Technologies and Innovative Research
September 19, 2023
Neural Manufacturing represents an emerging paradigm in the manufacturing industry that aims to create intelligent, adaptive, and resilient production systems. Inspired by biological neural networks, Neural Manufacturing entails integrating various elements of the manufacturing value chain into an interconnected, collaborative ecosystem. Core concepts include creating cognitive enterprises through artificial intelligence and machine learning, connecting entire value chains for end-to-end visibility and coordination, and building purpose-driven collaborative ecosystems. The origins of Neural Manufacturing stem from advancements in digital technologies like cloud computing, predictive analytics, and automation. Key benefits include heightened agility, sustainability, productivity, and human-machine collaboration. While promising, realizing the potential of Neural Manufacturing requires strategic planning, investment in capabilities building, and managing organizational change. With diligent adoption, Neural Manufacturing is poised to usher in a new era defined by optimized, innovative, and adaptive manufacturing operations. This literature review explores the conceptual origins, technological drivers, implementation roadmap, benefits, and challenges associated with this transformative shift in the manufacturing paradigm.

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Tags: Digital Transformation, Emerging Technology, IoT

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